diff --git a/README.md b/README.md index fae952391..ff4de8deb 100644 --- a/README.md +++ b/README.md @@ -25,6 +25,10 @@ If you are using conda, you can install from the `conda-forge` channel: wordcloud depends on `numpy`, `pillow`, and `matplotlib`. +For **correct Arabic / Hebrew / Syriac** (RTL) shaping in the Python API, use a +Pillow build with **libraqm** (`PIL.features.check("raqm")`). The examples under +`examples/` that set `text_direction` and `text_language` assume that stack. + If there are no wheels available for your version of python, installing the package requires having a C compiler set up. Before installing a compiler, report an issue describing the version of python and operating system being used. @@ -43,10 +47,13 @@ Or run [examples/masked.py][masked] to see more options. A sample output is: Getting fancy with some colors: ![Parrot with rainbow colors](examples/parrot_new.png) -Generating wordclouds for Arabic: +Generating wordclouds for Arabic in Arabic Unicode range (native RTL rendering via Pillow+libraqm; no `arabic_reshaper`). See [examples/arabic.py](examples/arabic.py) and [examples/arabicwords.txt](examples/arabicwords.txt). + +![Arabic wordcloud](examples/arabic_example.png) -![Arabic wordlcloud](examples/arabic_example.png) +Kurdish Sorani (ckb) in Arabic Unicode range script: see [examples/ku_ckb_wordcloud.py](examples/ku_ckb_wordcloud.py) and [examples/ku_ckb_wordcloud.txt](examples/ku_ckb_wordcloud.txt). Sample output: +![Kurdish Sorani (ckb) word cloud](examples/ku_ckb_wordcloud.png) ## Command-line usage @@ -60,7 +67,7 @@ If you're dealing with PDF files, then `pdftotext`, included by default with man In the previous example, the `-` argument orders `pdftotext` to write the resulting text to stdout, which is then piped to the stdin of `wordcloud_cli.py`. -Use `wordcloud_cli --help` so see all available options. +Use `wordcloud_cli --help` to see all available options. [blog-post]: http://peekaboo-vision.blogspot.de/2012/11/a-wordcloud-in-python.html [website]: http://amueller.github.io/word_cloud/ diff --git a/examples/arabic.py b/examples/arabic.py index 5b24e041a..9fe3fa773 100644 --- a/examples/arabic.py +++ b/examples/arabic.py @@ -4,32 +4,50 @@ =============== Generating a wordcloud from Arabic text -Dependencies: -- bidi.algorithm -- arabic_reshaper - -Dependencies installation: -pip install python-bidi arabic_reshape +This example uses native WordCloud RTL support powered by Pillow+libraqm. """ -import os -import codecs +from pathlib import Path + from wordcloud import WordCloud -import arabic_reshaper -from bidi.algorithm import get_display -# get data directory (using getcwd() is needed to support running example in generated IPython notebook) -d = os.path.dirname(__file__) if "__file__" in locals() else os.getcwd() +# Support running from the repo or from a copied notebook context +HERE = Path(__file__).resolve().parent -# Read the whole text. -f = codecs.open(os.path.join(d, 'arabicwords.txt'), 'r', 'utf-8') +ARABIC_TEXT = HERE / "arabicwords.txt" +NOTO_NASKH_ARABIC = HERE / "fonts" / "NotoNaskhArabic" / "NotoNaskhArabic-Regular.ttf" +# Fallback if Noto was removed (same bundle as ku_ckb_wordcloud.py) +ESTEDAD_FONT = HERE / "fonts" / "Estedad-v8.5" / "Estedad-Regular.ttf" -# Make text readable for a non-Arabic library like wordcloud -text = arabic_reshaper.reshape(f.read()) -text = get_display(text) -# Generate a word cloud image -wordcloud = WordCloud(font_path='fonts/NotoNaskhArabic/NotoNaskhArabic-Regular.ttf').generate(text) +def pick_font(): + candidates = ( + NOTO_NASKH_ARABIC, + ESTEDAD_FONT, + ) + for path in candidates: + if path.is_file(): + return str(path) + return None + -# Export to an image -wordcloud.to_file("arabic_example.png") +text = ARABIC_TEXT.read_text(encoding="utf-8") + +font_path = pick_font() +if font_path is None: + raise SystemExit( + "No Arabic-capable font found under examples/fonts. " + f"Expected Noto at {NOTO_NASKH_ARABIC}" + ) + +# Generate a word cloud image +wordcloud = WordCloud( + font_path=font_path, + text_direction="auto", + text_language="ar", +).generate(text) + +# Export next to this script (matches README image path) +out = HERE / "arabic_example.png" +wordcloud.to_file(str(out)) +print(f"Wrote {out}") diff --git a/examples/arabic_example.png b/examples/arabic_example.png index 07ba70731..390fd3afd 100644 Binary files a/examples/arabic_example.png and b/examples/arabic_example.png differ diff --git a/examples/fonts/Estedad-v8.5/Estedad-Regular.ttf b/examples/fonts/Estedad-v8.5/Estedad-Regular.ttf new file mode 100644 index 000000000..14ef3ca95 Binary files /dev/null and b/examples/fonts/Estedad-v8.5/Estedad-Regular.ttf differ diff --git a/examples/fonts/Estedad-v8.5/OFL.txt b/examples/fonts/Estedad-v8.5/OFL.txt new file mode 100644 index 000000000..a3f746447 --- /dev/null +++ b/examples/fonts/Estedad-v8.5/OFL.txt @@ -0,0 +1,93 @@ +Copyright 2022 The Estedad Project Authors (https://github.com/aminabedi68/Estedad) + +This Font Software is licensed under the SIL Open Font License, Version 1.1. +This license is copied below, and is also available with a FAQ at: +https://openfontlicense.org + + +----------------------------------------------------------- +SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 +----------------------------------------------------------- + +PREAMBLE +The goals of the Open Font License (OFL) are to stimulate worldwide +development of collaborative font projects, to support the font creation +efforts of academic and linguistic communities, and to provide a free and +open framework in which fonts may be shared and improved in partnership +with others. + +The OFL allows the licensed fonts to be used, studied, modified and +redistributed freely as long as they are not sold by themselves. The +fonts, including any derivative works, can be bundled, embedded, +redistributed and/or sold with any software provided that any reserved +names are not used by derivative works. The fonts and derivatives, +however, cannot be released under any other type of license. The +requirement for fonts to remain under this license does not apply +to any document created using the fonts or their derivatives. + +DEFINITIONS +"Font Software" refers to the set of files released by the Copyright +Holder(s) under this license and clearly marked as such. This may +include source files, build scripts and documentation. + +"Reserved Font Name" refers to any names specified as such after the +copyright statement(s). + +"Original Version" refers to the collection of Font Software components as +distributed by the Copyright Holder(s). + +"Modified Version" refers to any derivative made by adding to, deleting, +or substituting -- in part or in whole -- any of the components of the +Original Version, by changing formats or by porting the Font Software to a +new environment. + +"Author" refers to any designer, engineer, programmer, technical +writer or other person who contributed to the Font Software. + +PERMISSION & CONDITIONS +Permission is hereby granted, free of charge, to any person obtaining +a copy of the Font Software, to use, study, copy, merge, embed, modify, +redistribute, and sell modified and unmodified copies of the Font +Software, subject to the following conditions: + +1) Neither the Font Software nor any of its individual components, +in Original or Modified Versions, may be sold by itself. + +2) Original or Modified Versions of the Font Software may be bundled, +redistributed and/or sold with any software, provided that each copy +contains the above copyright notice and this license. These can be +included either as stand-alone text files, human-readable headers or +in the appropriate machine-readable metadata fields within text or +binary files as long as those fields can be easily viewed by the user. + +3) No Modified Version of the Font Software may use the Reserved Font +Name(s) unless explicit written permission is granted by the corresponding +Copyright Holder. This restriction only applies to the primary font name as +presented to the users. + +4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font +Software shall not be used to promote, endorse or advertise any +Modified Version, except to acknowledge the contribution(s) of the +Copyright Holder(s) and the Author(s) or with their explicit written +permission. + +5) The Font Software, modified or unmodified, in part or in whole, +must be distributed entirely under this license, and must not be +distributed under any other license. The requirement for fonts to +remain under this license does not apply to any document created +using the Font Software. + +TERMINATION +This license becomes null and void if any of the above conditions are +not met. + +DISCLAIMER +THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT +OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE +COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL +DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM +OTHER DEALINGS IN THE FONT SOFTWARE. diff --git a/examples/fonts/Estedad-v8.5/README.md b/examples/fonts/Estedad-v8.5/README.md new file mode 100644 index 000000000..588d271cc --- /dev/null +++ b/examples/fonts/Estedad-v8.5/README.md @@ -0,0 +1,24 @@ +# Estedad +![sample](https://github.com/aminabedi68/Estedad/blob/master/documentation/Estedad-sample.png) +Estedad(`/~este~dAd/` means Talent in persian) is an Arabic-Latin Sans-Serif typeface in 9 standard weights and a variable version(`wght`:weight/`KSHD`:Arabic simple kashida). Estedad has wide codepoint range support for most Arabic and Latin languages. +
design of type is simple, smooth, compact, legible, low contrast, lowest optical size(a bit higher in bold and above weights) and optimized for web-like environments. +
Estadad supporting small caps, simple fractions, tabular and old-style numbers and both decomposed(limited to basic a-z A-Z letters) and precomposed letter forms for Latin, and semi-advanced quran marking methodes for Arabic script. +
this typeface designed inside fontforge(in two thin and black masters). variable font and static instances build with fontmake and help of python scripts(fontforge python api and fonttools). whole project is licenced to be free under open font licence v1.1. +
quality of variable font has improved under fontbakery advisments. + +## Weights and Axes +Estedad has 9 Weights(Standard weights, 100-Thin to 900-Black) and 2 Axes(Weight[wght]:100-900 // Kashida[KSHD]:100-200) + +## Build(Windows): +### requirements: +1-installed fontforge with path access in environment variables +
2-installed python and fontmake +### build: +move script folder contents to sources folder and run Build.bat +
(FD version of variable font created manually.) +
+
+![designspace](https://github.com/aminabedi68/Estedad/blob/master/documentation/Estedad-designspace.png) + +## weight axis nonlinearity: +The weight axis has a nonlinearity mapping to decrease distance of the bottom and increase distance of the above instances. diff --git a/examples/ku_ckb_wordcloud.png b/examples/ku_ckb_wordcloud.png new file mode 100644 index 000000000..13946cc9d Binary files /dev/null and b/examples/ku_ckb_wordcloud.png differ diff --git a/examples/ku_ckb_wordcloud.py b/examples/ku_ckb_wordcloud.py new file mode 100644 index 000000000..a79b4ce82 --- /dev/null +++ b/examples/ku_ckb_wordcloud.py @@ -0,0 +1,41 @@ +#!/usr/bin/env python +""" +Kurdish word cloud - CKB (RTL) using Estedad from ./fonts/Estedad-v8.5. + +No bidi pre-processing needed when Pillow has libraqm support. +""" + +from pathlib import Path +from wordcloud import WordCloud + +HERE = Path(__file__).resolve().parent + +ESTEDAD_FONT = HERE / "fonts" / "Estedad-v8.5" / "Estedad-Regular.ttf" + + +def main() -> None: + ku_path = HERE / "ku_ckb_wordcloud.txt" + if not ku_path.is_file(): + raise SystemExit(f"Missing {ku_path}") + + text = ku_path.read_text(encoding="utf-8") + + if not ESTEDAD_FONT.is_file(): + raise SystemExit(f"Missing Estedad font at {ESTEDAD_FONT}") + + wc = WordCloud( + font_path=str(ESTEDAD_FONT), + width=1200, + height=800, + background_color="white", + text_direction="auto", + text_language="ar", + ).generate(text) + + out = HERE / "ku_ckb_wordcloud.png" + wc.to_file(str(out)) + print(f"Wrote {out}") + + +if __name__ == "__main__": + main() diff --git a/examples/ku_ckb_wordcloud.txt b/examples/ku_ckb_wordcloud.txt new file mode 100644 index 000000000..8a403a0c8 --- /dev/null +++ b/examples/ku_ckb_wordcloud.txt @@ -0,0 +1,84 @@ +ئازادی +ژن +ژیان +کورد +کوردستان +نیشتمان +وڵات +پێشمەرگە +ڕۆژئاڤا +ڕۆژهەڵات +باکوور +باشور +مەهاباد +سلێمانی +ئامەد +قامیشلوو +کۆبانی +عەفرین +زاخۆ +خانەقین +گوڵاڵە +کرماشان +سنە +بۆکان +ورمێ +سۆرانی +کورمانجی +هەورامان +هەورامی +لوڕستان +ئیلام +لوڕی +کەلهوڕی +زازاکی +مێژوو +هەرێم +ناوەند +سەرچاوە +هێمن +هەژار +نالی +بابان +جزیری +هەرکی +بادینی +کەرکوک +هەولێر +پشدەر +ئالان +مەم +زین +خانی +تاژدین +ماد +وێنە +قەندیل +شەڕڤان +کەزی +شاخ +شاخەوان +هۆژان +پۆتان +فێرکاری +دۆلان +چاند +فەرهەنگ +کولتوور +زانست +مرۆڤ +هونەر +وانە +هەڵبەست +خاڵ +هەنبانە +دایک +منداڵ +باوک +پیرۆز +خاک +ئاڵا +هاوسەنگ +سەرۆک +خاتوون +کۆمەڵگا diff --git a/pyproject.toml b/pyproject.toml index be1a08c8b..2c3f4e268 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,7 +9,13 @@ description = "A little word cloud generator" readme = { file = "README.md", content-type = "text/markdown" } requires-python = ">=3.9" license = "MIT" -dependencies = ["numpy>=1.19.3", "pillow", "matplotlib"] +dependencies = [ + "cython", + "matplotlib>=1.5.3", + "numpy==1.19.3; python_version == '3.9'", + "numpy>1.19.3; python_version >= '3.10'", + "pillow", +] dynamic = ["version"] [project.urls] diff --git a/test/test_ckb_ku_words_rtl.py b/test/test_ckb_ku_words_rtl.py new file mode 100644 index 000000000..80d20901a --- /dev/null +++ b/test/test_ckb_ku_words_rtl.py @@ -0,0 +1,90 @@ +"""Tests for Kurdish Sorani (ckb) sample text and RTL WordCloud rendering.""" + +from pathlib import Path + +import numpy as np +import pytest + +import matplotlib + +matplotlib.use("Agg") + +from wordcloud import WordCloud + +REPO_ROOT = Path(__file__).resolve().parents[1] +# Same file as examples/ku_ckb_wordcloud.py and the README Kurdish section +KU_CKB_SAMPLE_TEXT = REPO_ROOT / "examples" / "ku_ckb_wordcloud.txt" +ESTEDAD_FONT = ( + REPO_ROOT / "examples" / "fonts" / "Estedad-v8.5" / "Estedad-Regular.ttf" +) +NOTO_NASKH_ARABIC = ( + REPO_ROOT + / "examples" + / "fonts" + / "NotoNaskhArabic" + / "NotoNaskhArabic-Regular.ttf" +) + +# Sorani Arabic-script words (strong bidi class AL); used if sample file is absent +_MINIMAL_KU_CKB_SAMPLE = "ئازادی کوردستان سلێمانی\n" + + +def _load_ku_sample_text() -> str: + if KU_CKB_SAMPLE_TEXT.is_file(): + return KU_CKB_SAMPLE_TEXT.read_text(encoding="utf-8") + return _MINIMAL_KU_CKB_SAMPLE + + +def _pick_rtl_font_path(): + """Prefer Estedad (Kurdish example); fall back to Noto Naskh Arabic.""" + for path in (ESTEDAD_FONT, NOTO_NASKH_ARABIC): + if path.is_file(): + return path + return None + + +@pytest.fixture +def ku_sample_text(): + return _load_ku_sample_text() + + +def test_ku_ckb_sample_includes_strong_rtl_letters(ku_sample_text): + """Sorani Kurdish uses Arabic script; letters have bidi class AL (RTL).""" + import unicodedata + + bidi_classes = { + unicodedata.bidirectional(c) for c in ku_sample_text if not c.isspace() + } + assert "AL" in bidi_classes or "R" in bidi_classes, ( + "expected Arabic-letter or R bidi classes for Kurdish script text" + ) + + +def test_ku_ckb_wordcloud_generate_with_rtl_stack(ku_sample_text): + """WordCloud renders CKB text with an Arabic-script font + Pillow/libraqm.""" + import PIL.features + + if not PIL.features.check("raqm"): + pytest.skip("Pillow was built without libraqm (needed for RTL shaping)") + + font_path = _pick_rtl_font_path() + if font_path is None: + pytest.skip( + "No bundled RTL font found (expected Estedad or Noto Naskh Arabic " + "under examples/fonts/)" + ) + + wc = WordCloud( + font_path=str(font_path), + width=400, + height=200, + background_color="white", + text_direction="auto", + text_language="ar", + ) + wc.generate(ku_sample_text) + assert wc.words_ + + arr = np.asarray(wc.to_array()) + assert arr.size > 0 + assert arr.std() > 0, "expected non-flat image after generate (words were drawn)" diff --git a/test/test_wordcloud.py b/test/test_wordcloud.py index f3095040e..8c75a74e3 100644 --- a/test/test_wordcloud.py +++ b/test/test_wordcloud.py @@ -502,3 +502,11 @@ def test_max_font_size_as_mask_height(): # Check if the biggest element has the same font size assert wc.layout_[0][1] == wc2.layout_[0][1] + + +def test_auto_text_direction_uses_unicode_bidi_classes(): + """auto text_direction picks direction from first strong Unicode bidi class.""" + wc = WordCloud(text_direction="auto") + assert wc._text_draw_kwargs("سڵاو")["direction"] == "rtl" + assert wc._text_draw_kwargs("שלום")["direction"] == "rtl" + assert wc._text_draw_kwargs("hello")["direction"] == "ltr" diff --git a/uv.lock b/uv.lock new file mode 100644 index 000000000..9ab32edea --- /dev/null +++ b/uv.lock @@ -0,0 +1,1202 @@ +version = 1 +revision = 3 +requires-python = ">=3.9" +resolution-markers = [ + "python_full_version >= '3.11'", + "python_full_version == '3.10.*'", + "python_full_version < '3.10'", +] + +[[package]] +name = "contourpy" +version = "1.1.1" +source = { registry = "https://pypi.org/simple" } +resolution-markers = [ + "python_full_version < '3.10'", +] +dependencies = [ + { name = "numpy", version = "1.19.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" }, +] +sdist = 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b/wordcloud/wordcloud.py index 59743638a..fa5f97ab5 100644 --- a/wordcloud/wordcloud.py +++ b/wordcloud/wordcloud.py @@ -16,6 +16,7 @@ import base64 import sys import colorsys +import unicodedata import matplotlib import numpy as np from operator import itemgetter @@ -283,6 +284,19 @@ class WordCloud(object): Statistical Natural Language Processing. MIT press, p. 162 https://nlp.stanford.edu/fsnlp/promo/colloc.pdf#page=22 + text_direction : {"ltr", "rtl", "ttb", "auto"} or None, default=None + Text direction passed to Pillow text rendering. ``"auto"`` selects a + direction per word using the Unicode bidirectional class of the first + strong character (``R``/``AL``/``AN`` -> ``"rtl"``, else ``"ltr"``). + This is useful for Arabic/Hebrew-script languages when Pillow was built + with ``libraqm`` support. + + text_language : str or None, default=None + BCP 47/OpenType language tag passed to Pillow (for example ``"ar"``). + + text_features : list[str] or None, default=None + OpenType feature tags passed to Pillow text rendering. + Attributes ---------- ``words_`` : dict of string to float @@ -315,7 +329,8 @@ def __init__(self, font_path=None, width=400, height=200, margin=2, relative_scaling='auto', regexp=None, collocations=True, colormap=None, normalize_plurals=True, contour_width=0, contour_color='black', repeat=False, - include_numbers=False, min_word_length=0, collocation_threshold=30): + include_numbers=False, min_word_length=0, collocation_threshold=30, + text_direction=None, text_language=None, text_features=None): if font_path is None: font_path = FONT_PATH if color_func is None and colormap is None: @@ -367,6 +382,13 @@ def __init__(self, font_path=None, width=400, height=200, margin=2, self.include_numbers = include_numbers self.min_word_length = min_word_length self.collocation_threshold = collocation_threshold + valid_text_directions = {None, "ltr", "rtl", "ttb", "auto"} + if text_direction not in valid_text_directions: + raise ValueError("text_direction needs to be one of None, 'ltr', " + "'rtl', 'ttb', 'auto', got %r." % text_direction) + self.text_direction = text_direction + self.text_language = text_language + self.text_features = text_features # Override the width and height if there is a mask if mask is not None: @@ -389,6 +411,28 @@ def fit_words(self, frequencies): """ return self.generate_from_frequencies(frequencies) + def _auto_direction(self, text): + for char in text: + bidi_class = unicodedata.bidirectional(char) + if bidi_class in ("R", "AL", "AN"): + return "rtl" + if bidi_class == "L": + return "ltr" + return None + + def _text_draw_kwargs(self, text): + kwargs = {} + direction = self.text_direction + if direction == "auto": + direction = self._auto_direction(text) + if direction is not None: + kwargs["direction"] = direction + if self.text_language is not None: + kwargs["language"] = self.text_language + if self.text_features is not None: + kwargs["features"] = self.text_features + return kwargs + def generate_from_frequencies(self, frequencies, max_font_size=None): # noqa: C901 """Create a word_cloud from words and frequencies. @@ -509,7 +553,9 @@ def generate_from_frequencies(self, frequencies, max_font_size=None): # noqa: C transposed_font = ImageFont.TransposedFont( font, orientation=orientation) # get size of resulting text - box_size = draw.textbbox((0, 0), word, font=transposed_font, anchor="lt") + box_size = draw.textbbox( + (0, 0), word, font=transposed_font, anchor="lt", + **self._text_draw_kwargs(word)) # find possible places using integral image: result = occupancy.sample_position(box_size[3] + self.margin, box_size[2] + self.margin, @@ -533,7 +579,8 @@ def generate_from_frequencies(self, frequencies, max_font_size=None): # noqa: C x, y = np.array(result) + self.margin // 2 # actually draw the text - draw.text((y, x), word, fill="white", font=transposed_font) + draw.text((y, x), word, fill="white", font=transposed_font, + **self._text_draw_kwargs(word)) positions.append((x, y)) orientations.append(orientation) font_sizes.append(font_size) @@ -667,7 +714,8 @@ def to_image(self): font, orientation=orientation) pos = (int(position[1] * self.scale), int(position[0] * self.scale)) - draw.text(pos, word, fill=color, font=transposed_font) + draw.text(pos, word, fill=color, font=transposed_font, + **self._text_draw_kwargs(word)) return self._draw_contour(img=img)